Beginner course

Introduction to Generative AI and LLMs

Jumpstart your Generative AI career by learning about LLMs, ChatGPT, Prompts, Fine Tuning, RAG, RLHF, Certs and more

Rating: 4.58,804 ratings17,979 students3.5 total hours21 lectures
Introduction to Generative AI and LLMs Beginner

Course facts

  • Last updated 05/2026
  • English English [Auto], Dutch [Auto] , 4 more
  • Instructor: Varad V
  • technical implementation with AI models and applications

What you'll learn

Practical outcomes

  • Understand what is Generative AI
  • Learn about the use cases for Generative AI
  • Learn the concepts and terminologies of Generative AI
  • Understand the limitations of LLMs and how to work around them
  • Prepare for the future with Generative AI
  • Learn about ethics and responsible AI

Curriculum

9 sections • 21 lectures • 3h 23m total length

Introduction2 lectures • 16min
  1. What is Generative AI?12:35
  2. Demo03:50
  3. Test your learning 3 questions
Business use cases for Generative AI1 lecture • 16min
  1. Business use cases15:52
  2. Test your understanding 4 questions
Concepts, terminology and how LLMs work1 lecture • 23min
  1. Concepts, terminology and how LLMs work23:07
  2. Test your understanding 6 questions
Customizing LLMs for your use case4 lectures • 43min
  1. Customizing LLMs for your use case15:35
  2. Prompting techniques10:57
  3. Custom GPTs08:22
  4. AWS PartyRock07:36
  5. Test your understanding 4 questions
  6. Create your custom GPT Tutor 1 question
  7. Create an app with PartyRock 1 question
Limitations of LLMs and workarounds2 lectures • 19min
  1. Limitations of LLMs and workarounds06:06
  2. How well do you know your LLMs?13:04
  3. Test your understanding 5 questions
Building safeguards2 lectures • 19min
  1. Building safeguards10:25
  2. Demo of setting up Guardrails using Amazon Bedrock08:36
  3. Test your understanding 3 questions
  4. Create a sample guardrail 1 question
Why do some AI projects fail?1 lecture • 13min
  1. Why do some AI projects fail and how to avoid the failure?13:24
Additional topics6 lectures • 40min
  1. Generative AI Apps, Platforms and Use Cases09:00
  2. A primer on AI Agents14:02
  3. Create your personal office secretary 1 question
  4. Use case: Code Generation using GitHub CoPilot03:32
  5. Use case: Image and Video Generation using Amazon Nova05:32
  6. How to run LLMs locally?01:03
  7. How AI is disrupting search06:39
  8. AI enabled browsers 1 question
The future, jobs and certifications - where to go from here?2 lectures • 14min
  1. The future, jobs, certifications and what next?13:33
  2. Test your understanding 1 question
  3. Bonus lecture00:42
  4. Practice Test 20 questions

Who it is for

  • Managers interested in learning about how Generative AI can be used in their business
  • Non technical users who would like to learn about Generative AI
  • Technical users who are looking for an introductory course to jumpstart their career in Generative AI

Course description

Overview

Generative AI is a breakthrough technology that has fundamentally changed the way we interact with computers. Both businesses and consumers stand to gain enormously from this technology. As students, you will gain immensely by getting your feet wet with this technology. It will open up new opportunities in your existing jobs as well as prepare you for new careers. This course provides a gentle introduction to Generative AI. PLEASE NOTE THIS IS NOT A PROGRAMMING COURSE. IF YOU ARE INTERESTED IN LEARNING TO PROGRAM IN GENERATIVE AI, CHATGPT OR LLMs, PLEASE LOOK AT OTHER COURSES ON THIS TOPIC This course will benefit: * Managers who would like to introduce Generative AI in their organizations. * Non technical users who want to learn about this topic and curious about how it works. * Technical users who are looking for an entry level course to jumpstart their career in Generative AI. It is taught by Chief Architect / CTO who is an AI / ML specialist and Generative AI enthusiast, with many years experience in SAAS, Cloud and IT Consulting. The course is organized as follows: Module 1: What is Generative AI? Module 2: Business use cases Module 3: Concepts, terminologies and how LLMs work Module 4: Customizing LLMs Module 5: Limitations of LLMs and workarounds Module 6: The future, jobs and certifications Module 7: Building safeguards Module 8: Generative AI Apps, Platforms and Use Cases Benefits of this course: Students will get a quick introduction to the basics of Generative AI, understand concepts and learn how LLMs work. They will be able to try out examples using ChatGPT, Stable Diffusion and other popular LLMs for their use cases. They will learn how to customize LLMs for their specific use cases using RAG, Fine Tuning and Prompt Engineering. They will learn when LLMs and Generative AI can go wrong and how to build safeguards around them. And last but not the least, they will get a sneak preview of Agentic AI. While this course does not prepare you for any particular certification, the concepts you will learn in this course will be useful if you intend to pursue a certification at a later time. The course has a few simple quizzes to test your understanding of the material. It does not have any code examples. No knowledge of coding is required or assumed. Upon completion of this course, the student will Gain an understanding of Generative AI Know where it can be used Understand how LLMs work Learn how to use ChatGPT and other LLMs Explore jobs and certifications Learn about building safeguards and following best practices Learn about Generative AI apps, platforms and use cases, including Agentic AI. Join the Generative AI revolution. Don't wait. Enroll now!

Instructor

Varad V

Varad V CXO Level Advisor, Entrepreneur, Instructor As the Founder and CEO of ConnectedWorld Technology Solutions, I leverage my extensive experience and expertise in AI and Machine Learning, IT and business consulting to deliver cutting-edge solutions with a focus on AWS. My mission is to help clients harness the power of AI/ML to create value, optimize performance, and drive innovation in their businesses. Before launching ConnectedWorld, I spent over three decades in Technology Management and Consulting. More recently, I was a strategic advisor to CXOs at Amazon Web Services and Salesforce in the USA, where I led multi-million dollar projects, managed end-to-end product releases, and designed and implemented cloud-native and hybrid cloud solutions for global clients. I am passionate about sharing my knowledge and insights through blogging, self-publishing, and speaking at industry events. I'm an active blogger on AWS, Salesforce and medium and have written two books under the pen name Jee Va, that are available from Amazon. I have numerous certifications in AI/ML, AWS, Salesforce and other leading platforms. I hold advanced degrees in engineering (IIT Madras), computer science (GWU), and business administration (NYU, MIT) in the USA.